The success of real-time digital systems comes from optimizing processing for the most important tasks rather than speeding up overall execution.

Learn how to design AI infrastructure and AI-ready systems with this practical enterprise AI setup and AI deployment guide ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

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This article is authored by Paras Pandey, data engineer II, Amazon.

Data can be likened to a stream of water when a large amount of data is generated continuously. A variety of data including applications, networked devices, server log files, various online activities ...

A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...

Scientists from KAUST and engineers from Cerebras Systems have fine-tuned an existing algorithm, Tile Low-Rank Matrix-Vector Multiplications (TLR-MVM), to improve the speed and accuracy of seismic ...